Evidence map›Paper›PMID 36159950›Full record

ArticleFrontiers in psychiatry2022

Association between migration paths and mental health of new-generation migrants in China: The mediating effect of social integration.

Fenfen Zhou, Boli Peng, Muyang Chu, Hui Zhang, Lishuo Shi, Li Ling

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fenfen ZhouDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Boli PengDepartment of Actuarial Science, School of Insurance, Guangdong University of Finance, Guangzhou, China.
Muyang ChuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Hui ZhangDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Lishuo ShiThe Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Li LingDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The new-generation migrants born in 1980 and later are large and vulnerable internal migrants in China. Migration paths and social integration are important factors to explain for their mental health. However, they faced difficulties in social integration varying from migration paths. We aimed to explore the mediating role of social integration between migration paths and the mental health of new-generation migrants. Methods: The migration paths included urban-to-urban, urban-to-rural, rural-to-urban and rural-to-rural. Mental health was assessed by the Kessler Screening Scale for Psychological Distress (K6) and the Perceived Stress Scales (PSS-4). Social integration was measured by economic integration, life integration, maintenance of the local culture, acceptance of the host culture and psychological integration. Multiple linear regressions with bootstrapping were used to examine the mediating effect. Results: A total of 9,830 new-generation migrants were included in this study. The mean age was 26.92 ( Conclusion: Rural-to-urban migrants had poorer mental health, and the association was mediated by their poorer social integration. The migration policies developed to enhance social integration could effectively improve the mental health of new-generation migrants.

Indexed as

Chinamental healthmigration pathsnew-generation migrantsruralsocial integrationurban

Identifiers

PMID36159950
PMCPMC9490027

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.